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Optimal Load Forecasting Model for Peer-to-Peer Energy Trading in Smart Grids

Computers, Materials & Continua 2022年第1期70卷 1053-1067页

作者： Lijo jacob Varghese K.Dhayalini suma sira jacob Ihsan Ali Abdelzahir Abdelmaboud Taiseer Abdalla Elfadil Eisa Department of Electrical and Electronics Engineering Christian College of Engineering and TechnologyOddanchatram624619India Department of Electrical and Electronics Engineering K.Ramakrishnan College of EngineeringTiruchirappalli621112India Department of Computer Science and Engineering Christian College of Engineering and TechnologyOddanchatram624619India Department of Computer System and Technology Faculty of Computer Science and Information TechnologyUniversity of Malaya50603Kuala LumpurMalaysia Department of Information Systems King Khalid UniversityMuhayel Aseer62529Saudi Arabia Department of Information Systems-Girls Section King Khalid UniversityMahayil62529Saudi Arabia

Peer-to-Peer(P2P)electricity trading is a significant research area that offers maximum fulfilment for both prosumer and *** also decreases the quantity of line loss incurred in Smart Grid(SG).But,uncertainities in demand and supply of the electricity might lead to instability in P2P market for both prosumer and *** recent times,numerous Machine Learning(ML)-enabled load predictive techniques have been developed,while most of the existing studies did not consider its implicit features,optimal parameter selection,and prediction *** order to overcome fulfill this research gap,the current research paper presents a new Multi-Objective Grasshopper Optimisation Algorithm(MOGOA)with Deep Extreme Learning Machine(DELM)-based short-term load predictive technique i.e.,MOGOA-DELM model for P2P Energy Trading(ET)in *** proposed MOGOA-DELM model involves four distinct stages of operations namely,data cleaning,Feature Selection(FS),prediction,and parameter *** addition,MOGOA-based FS technique is utilized in the selection of optimum subset of ***,DELM-based predictive model is also applied in forecasting the load *** proposed MOGOA model is also applied in FS and the selection of optimalDELM parameters to improve the predictive *** inspect the effectual outcome of the proposed MOGOA-DELM model,a series of simulations was performed using UK Smart Meter *** the experimentation procedure,the proposed model achieved the highest accuracy of 85.80%and the results established the superiority of the proposed model in predicting the testing data.

关键词： Peer to Peer energy trade smart grid load forecasting machine learning feature selection

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AModified Search and Rescue Optimization Based Node Localization Technique inWSN

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Computers, Materials & Continua 2022年第1期70卷 1229-1245页

作者： suma sira jacob K.Muthumayil M.Kavitha Lijo jacob Varghese M.Ilayaraja Irina V.Pustokhina Denis A.Pustokhin Department of Computer Science and Engineering Christian College of Engineering and TechnologyOddanchatram624619India Department of Information Technology PSNA College of Engineering and TechnologyDindigul624622India Department of Electronics and Communication Engineering K.Ramakrishnan College of TechnologyTiruchirappalli621112India Department of Electrical and Electronics Engineering Christian College of Engineering and TechnologyOddanchatram624619India School of Computing Kalasalingam Academy of Research and EducationKrishnankoil626128India Department of Entrepreneurship and Logistics Plekhanov Russian University of EconomicsMoscow117997Russia Department of Logistics State University of ManagementMoscow109542Russia

Wireless sensor network(WSN)is an emerging technology which find useful in several application areas such as healthcare,environmentalmonitoring,border surveillance,*** issues that exist in the designing of WSN are node localization,coverage,energy efficiency,security,and so *** spite of the issues,node localization is considered an important issue,which intends to calculate the coordinate points of unknown nodes with the assistance of *** efficiency of the WSN can be considerably influenced by the node localization ***,this paper presents a modified search and rescue optimization based node localization technique(MSRONLT)*** major aim of theMSRO-NLT technique is to determine the positioning of the unknown nodes in *** the traditional search and rescue optimization(SRO)algorithm suffers from the local optima problemwith an increase in number of iterations,MSRO algorithm is developed by the incorporation of chaotic maps to improvise the diversity of the *** application of the concept of chaotic map to the characteristics of the traditional SRO algorithm helps to achieve better exploration ability of the MSRO *** order to validate the effective node localization performance of the MSRO-NLT algorithm,a set of simulations were performed to highlight the supremacy of the presented model.A detailed comparative results analysis showcased the betterment of the MSRO-NLT technique over the other compared methods in terms of different measures.

关键词： Node localization WSN chaotic map search and rescue optimization algorithm localization error

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Energy Aware Processor Architecture for Effective Scheduling and Power Management in Cloud Using Inclusive Power-Cognizant Processor Controller

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Circuits and Systems 2016年第8期7卷 1822-1833页

作者： suma sira jacob C. Kezi Selva Vijila Department of Computer Science and Engineering Christian College of Engineering and Technology Dindigul India Department of Electronics and Communication Engineering Christian College of Engineering and Technology Dindigul India

The fast acceptance of cloud technology to industry explains increasing energy conservation needs and adoption of energy aware scheduling methods to cloud. Power consumption is one of the top of mind issues in cloud, because the usage of cloud storage by the individuals or organization grows rapidly. Developing an efficient power management processor architecture has gained considerable attention. However, the conventional power management mechanism fails to consider task scheduling policies. Therefore, this work presents a novel energy aware framework for power management. The proposed system leads to the development of Inclusive Power-Cognizant Processor Controller (IPCPC) for efficient power utilization. To evaluate the performance of the proposed method, simulation experiments inputting random tasks as well as tasks collected from Google Trace Logs were conducted to validate the supremacy of IPCPC. The research based on Real world Google Trace Logs gives results that proposed framework leads to less than 9% of total power consumption per task of server which proves reduction in the overall power needed.

关键词： Energy Efficiency Power Management Task Scheduling Virtual Machine Processor Architecture

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Artery of Percheron occlusion:role of diffusion-weighted imaging in the early diagnosis

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Neuroimmunology and Neuroinflammation 2016年第1期3卷 14-16页

作者： Murali Krishna Menon suma Mariam jacob Muhammed Jasim Abdul Jalal Department of Neurology Lakeshore Hospital and Research CentreErnakulam 682040KeralaIndia Department of Radiology Lakeshore Hospital and Research CentreErnakulam 682040KeralaIndia Department of Family Medicine Lakeshore Hospital and Research CentreErnakulam 682040KeralaIndia

Bilateral thalamic infarcts have a low frequency among different subtypes of *** it does not involve a particular vascular territory,it therefore usually involves the occlusion of the artery of Percheron(AOP).Here we report a 79-year-old right-handed Parkinsonian female patient,who was found unresponsive in *** examination,the patient was drowsy with a Glasgow Coma Score(GCS)of 10/15(E2M5V3).She had absent doll’s eye response with anisocoric pupils and intermittent vertical gaze *** the patient had no apparent motor deficits,she was in a state of persistent somnolence with memory impairment and lack of ***-weighted magnetic resonance imaging(MRI)of the brain showed focal areas of restricted diffusion in the medial part of the thalami bilaterally and the rostral part of mid-brain(right>left)(bilateral paramedian thalamic with mid-brain pattern),suggestive of a hyper-acute infarct in the territory of *** patient was anticoagulated with 40 mg subcutaneous low molecular weight heparin and was started on double anti-platelets along with supportive *** level of consciousness is improved at a slow rate to a GCS of 12/15(E4M5V3).The patient had marked abulia with periods of drowsiness interspersed with periods of restlessness and uttering of abnormal sounds,but she was able to execute simple *** conclusion,occlusion of the AOP is a rare cause of coma in elderly ***-weighted MRI is the imaging modality of choice for early *** diagnosis of AOP occlusion may lead to favorable outcomes.

关键词： Artery of Percheron bilateral thalamic infarcts coma diffusion-weighted imaging thalamic dementia

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